1 #ifndef OverlapNormalization_h
2 #define OverlapNormalization_h
108 const Statistics &area2,
const unsigned index2,
109 double weight = 1.0);
118 m_idHoldList.push_back(holdIndex);
155 double Average(
const unsigned index)
const;
156 double Gain(
const unsigned index)
const;
157 double Offset(
const unsigned index)
const;
159 double Evaluate(
double dn,
unsigned index)
const;
166 std::vector<Statistics *> m_statsList;
172 std::vector<int> m_idHoldList;
212 std::vector<Overlap> m_overlapList;
218 std::vector<double> m_deltas;
223 std::vector<double> m_weights;
240 std::vector<double> m_gains;
245 std::vector<double> m_offsets;
251 BasisFunction *m_gainFunction;
256 BasisFunction *m_offsetFunction;
261 LeastSquares *m_gainLsq;
266 LeastSquares *m_offsetLsq;
OverlapNormalization(std::vector< Statistics * > statsList)
Constructs an OverlapNormalization object.
Definition: OverlapNormalization.cpp:45
AddStatus AddOverlap(const Statistics &area1, const unsigned index1, const Statistics &area2, const unsigned index2, double weight=1.0)
Attempts to add the given overlap data to a collection of valid overlaps, and returns the success or ...
Definition: OverlapNormalization.cpp:106
void Solve(SolutionType type=Both, LeastSquares::SolveMethod method=LeastSquares::QRD)
Attempts to solve the least squares equation for all data sets.
Definition: OverlapNormalization.cpp:163
QR Decomposition.
Definition: LeastSquares.h:131
double Offset(const unsigned index) const
Returns the calculated offset (base) for the given data set.
Definition: OverlapNormalization.cpp:351
Calculate only the offsets.
Definition: OverlapNormalization.h:135
SolutionType
Enumeration for whether user/programmer wants to calculate new gains, offsets, or both when solving...
Definition: OverlapNormalization.h:125
One or both areas contain no valid average.
Definition: OverlapNormalization.h:104
void AddHold(unsigned holdIndex)
Sets the list of files to be held during the solving process.
Definition: OverlapNormalization.h:117
double Evaluate(double dn, unsigned index) const
Returns a new DN from an old using the calculated gains and offsets of the data set the pixel belongs...
Definition: OverlapNormalization.cpp:374
SolveMethod
Definition: LeastSquares.h:130
This class is used to accumulate statistics on double arrays.
Definition: Statistics.h:109
Calculate the bases and multipliers for normalizing overlapping "data sets" (e.g., cubes).
Definition: OverlapNormalization.h:75
virtual ~OverlapNormalization()
Destroys the OverlapNormalization object, frees up pointers.
Definition: OverlapNormalization.cpp:72
Overlap is valid and was added successfully.
Definition: OverlapNormalization.h:94
double Gain(const unsigned index) const
Returns the calculated gain (multiplier) for the given data set.
Definition: OverlapNormalization.cpp:330
AddStatus
The result of the attempt to add overlap data to the list of valid overlaps, where Success is a succe...
Definition: OverlapNormalization.h:89
The equation being solved for Gains, Offsets, and Both is output = (input - average) * gain + offset ...
Definition: OverlapNormalization.h:149
Calculate both gains and offsets.
Definition: OverlapNormalization.h:140
double Average(const unsigned index) const
Returns the calculated average DN value for the given data set.
Definition: OverlapNormalization.cpp:309
Data sets do not overlap one another.
Definition: OverlapNormalization.h:99
Calculate only the gains.
Definition: OverlapNormalization.h:130